André Luís Lopes da Silva
Andre-Luis-Lopes-da-Silva
Data Science & Machine Learning practitioner focused on real-world problem solving. Passionate about AI and open to remote opportunities across the EU.
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61
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27
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9
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Jupyter Notebook
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Top Repositories
Volume Spread Analysis (VSA) is a powerful trading methodology that examines the relationship between volume, price spread (range), and closing price to identify market reversals, continuations, and potential manipulation by "smart money."
A model based in artificial neural network to predict buy and sell stocks of retail sector.
This is a predictive model for trade of stocks of retail using macroeconomic indicators
This study presents a predictive machine learning model using Support vector machines to classify the profile of employees who will leave the company.
A brief study of Hidden Markov model applied in stocks
A model based in Extreme Gradient Boosting (XGBoost) to predict buy and sell stocks of retail sector.
Repositories
61This is a predictive model for trade of stocks of retail using macroeconomic indicators
This study presents a predictive machine learning model using Support vector machines to classify the profile of employees who will leave the company.
No description provided.
No description provided.
A model based in Extreme Gradient Boosting (XGBoost) to predict buy and sell stocks of retail sector.
No description provided.
Volume Spread Analysis (VSA) is a powerful trading methodology that examines the relationship between volume, price spread (range), and closing price to identify market reversals, continuations, and potential manipulation by "smart money."
No description provided.
Teste Augmented Dickey-Fuller (ADF) em ações da ABEV3
No description provided.
Indicador Volume Profile para Metatrader 5
A model based in artificial neural network to predict buy and sell stocks of retail sector.
No description provided.
Final exercises from course
No description provided.
This repository contains a step-by-step, didactic analysis of a Difference-in-Differences (DiD) model applied to a real-world-inspired scenario: a sales training program applied to only part of a sales team. The goal is to estimate the causal impact of the training on sales performance using Python and statistical modeling.
Implementation of Trading Strategies for Backtesting in MetaTrader 5
No description provided.
Calcula a entropia de Shannon ou entropia da informação
Um repositório onde se encontram scripts em Python, sobre geração de gráficos de ativos, correlações, estudos temporal e rentabilidades.
prever os custos médicos de previsao custos medicos de paciencientes a partir de características demográficas e de saúde.
A brief study of Hidden Markov model applied in stocks
In this noteboook I will create a complete process for predicting stock price movements.
A Trading Robot developed in Python, using Deep Q Learning.
A curated list of awesome libraries, packages, strategies, books, blogs, tutorials for systematic trading.
A model based in random forest to predict buy and sell stocks of retail sector.
No description provided.
Neste projeto, vamos calcular as principais métricas para avaliação de modelos de classificação de dados, como acurácia, sensibilidade (recall), especificidade, precisão e F-score. Para que seja possível implementar estas funções, você deve utilizar os métodos e suas fórmulas correspondentes.
No description provided.
Obtaining the PTAX - the reference exchange rate of the dollar against the real in the Brazilian market